They are also fighting for their lives because these insane valuations simply aren’t justified by being dumb pipes. Fortunately, open weights models are widely available and have crossed a threshold of usefulness that cements their place as good substitutes.
The issue with that is obviously that most of the generated value would be captured by that company in the middle, while Anthropic would stay in the cost-conscious inference market.
We're not talking about what is best for the consumer (ex more competition to force iterations and improvements), but what Anthropic thinks is best for Anthropic.
But I doubt staying a pure model provider is a winning move. It's a market nobody will win long-term. Almost all of the value to be captured isn't in inference APIs but in how to use them to generate business value. Claude Code was already the right approach, they "just" need to show they can repeat this for other kinds of tasks
If the business value can be generated with a few thousand words in a SKILL.md on top of a commoditized model it doesn't sound like that's a market anyone can win long-term either, and the business value is ultimately going to accrue elsewhere (the customer, the inference hardware provider, etc)